Analyzing the Research Grant Process in Iran’s National Elites Foundation: An Approach Based on Process Mining and Machine Learning

Ajayi, L. K., Azeta, A. A., Owolabi, I. T., Damilola, O. O., Chidozie, F., Azeta, A. E., & Amosu, O. (2019). Current trends in workflow mining. Journal of Physics: Conference Series, 1299(1), 012036.

Barreiros B. V., Lama, M., Mucientes, M., & Vidal, J. C. (2014). Softlearn: A process mining platform for the discovery of learning paths. In 14th international conference on advanced learning technologies (pp. 373–375). IEEE, Athens, Greece.

Benavente, J. M., Crespi, G., & Maffioli, A. (2007). The impact of national research funds: An evaluation of the Chilean FONDECYT. Office of Evaluation and Oversight. Inter-American Development Bank. Available at: https://publications.iadb.org/en/impact-national-research-funds-evaluation-chilean-fondecyt

Berg, E. J., & Ashurst, J. (2019). Patterns of recent National Institutes of Health (NIH) funding in general surgery: Analysis using the NIH RePORTER system. Cureus, 11(6).

Bloch, C., Sørensen, M. P., Graversen, E. K., Schneider, J. W., Schmidt, E. K., Aagaard, K., & Mejlgaard, N. (2014). Developing a methodology to assess the impact of research grant funding: A mixed methods approach. Evaluation and Program Planning, 43, 105-117.

Bogarín, A., Cerezo, R., & Romero, C. (2018). A survey on educational process mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(1), e1230.

Cheng, H. J., & Kumar, A. (2015). Process mining on noisy logs—Can log sanitization help to improve performance? Decision Support Systems, 79, 138-149.

Conforti, R., de Leoni, M., La Rosa, M., Van der Aalst, W. M., & ter Hofstede, A. H. (2015). A recommendation system for predicting risks across multiple business process instances. Decision Support Systems, 69, 1-19.

de Leoni, M., Suriadi, S., Ter Hofstede, A. H., & Van der Aalst, W. M. (2016). Turning event logs into process movies: Animating what has really happened. Software & Systems Modeling, 15(3), 707-732.

de Weerdt, J., Schupp, A., Vanderloock, A., & Baesens, B. (2013). Process mining for the multi-faceted analysis of business processes—A case study in a financial services organization. Computers in Industry, 64(1), 57-67.

dos Santos Garcia, C., Meincheim, A., Junior, E. R. F., Dallagassa, M. R., et al. (2019). Process mining techniques and applications– A systematic mapping study. Expert Systems with Applications, 133, 260-295.

Douzali, E., & Darabi, H. (2016). A case study for the application of data and process mining in intervention program assessment and improvement. In 2016 ASEE annual conference & exposition, New Orleans, Louisiana. 10.18260/p.26267.

Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2018). Fundamentals of Business Process Management, 341-369, Springer Berlin, Heidelberg.

van Eck, M.L., Lu, X., Leemans, S.J.J., van der Aalst, W.M.P. (2015). PM22: A Process Mining Project Methodology. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds) Advanced Information Systems Engineering. CAiSE 2015. Lecture Notes in Computer Science, vol 9097. Springer, Cham.

Godin, B. (2003). The impact of research grants on the productivity and quality of scientific research, Ottawa: INRS Working Paper 2003.

Günther, C.W., van der Aalst, W.M.P. (2007). Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds) Business Process Management. BPM 2007. Lecture Notes in Computer Science, vol 4714. Springer, Berlin, Heidelberg.

Head, M. G., Fitchett, J. R., Atun, R., & May, R. C. (2014). Systematic analysis of funding awarded for mycology research to institutions in the UK, 1997–2010. BMJ Open, 4(1), e004129.

Heyard, R., & Hottenrott, H. (2021). The value of research funding for knowledge creation and dissemination: A study of SNSF Research Grants. Humanities and Social Sciences Communications, 8(1), 1-16.

Jung, H., Seo, I., Kim, J., & Kim, B. K. (2017). Factors affecting government-funded research quality. Asian Journal of Technology Innovation, 25(3), 447-469.

Lakshmanan, G. T., Shamsi, D., Doganata, Y. N., Unuvar, M., & Khalaf, R. (2015). A Markov prediction model for data-driven semi-structured business processes. Knowledge and Information Systems, 42(1), 97-126.

Mahmood, T., & Shaikh, G. M. (2013). Adaptive automated teller machines. Expert Systems with Applications, 40(4), 1152-1169.

Mongeon, P., Brodeur, C., Beaudry, C., & Larivière, V. (2016). Concentration of research funding leads to decreasing marginal returns. Research Evaluation, 25(4), 396-404.

Pagel, P. S., & Hudetz, J. A. (2015). Scholarly productivity and national institutes of health funding of foundation for anesthesia education and research grant recipients: Insights from a bibliometric analysis. Anesthesiology, 123(3), 683-691.

Peters, E. M., Dedene, G., & Poelmans, J. (2013). Understanding service quality and customer churn by process discovery for a multi-national banking contact center. In IEEE 13th International Conference on Data Mining Workshops (ICDMW), 228-233, Texas, USA.

Ruhani A, Keshavarzi S, Anbarlou M, (2020). Providing a grounded theory of young elites’ experiences in confronting bureaucracy of the National Elite Foundation. Quarterly of Social Studies and Research in Iran, 8(4), 745-772. In Persian.

Sonnenberg, C., & Bannert, M. (2019). Using process mining to examine the sustainability of instructional support: How stable are the effects of metacognitive prompting on self-regulatory behavior? Computers in Human Behavior, 96, 259-272.

Suriadi, S., Andrews, R., ter Hofstede, A. H., & Wynn, M. T. (2017). Event log imperfection patterns for process mining: Towards a systematic approach to cleaning event logs. Information Systems, 64, 132-150.

Van den Beemt, A., Buijs, J., & Van der Aalst, W. (2018). Analysing structured learning behaviour in massive open online courses (MOOCs): An approach based on process mining and clustering. International Review of Research in Open and Distributed Learning, 19(5), 38-60. 

Wang, J., & Shapira, P. (2015). Is there a relationship between research sponsorship and publication impact? An analysis of funding acknowledgments in nanotechnology papers. PloS one, 10(2), e0117727.

Werner, M. (2017). Financial process mining-Accounting data structure dependent control flow inference. International Journal of Accounting Information Systems, 25, 57-80.

Yari Eili, M., Rezaeenour, J. (2022). A survey on recommendation in process mining. Concurrency and Computation: Practice and Experience, 34(26), e7304.

Zeng, Q., Sun, S. X., Duan, H., Liu, C., & Wang, H. (2013). Cross-organizational collaborative workflow mining from a multi-source log. Decision Support Systems, 54(3), 1280-1301.